Chapter 3. Clustering Your Data – Unsupervised Learning for Predictive Analytics

In this lesson, we will dig deeper into predictive analytics and find out how we can take advantage of it to cluster records belonging to a certain group or class for a dataset of unsupervised observations. We will provide some practical examples of unsupervised learning; in particular, clustering techniques using TensorFlow will be discussed with some hands-on examples.

The following topics will be covered in this lesson:

  • Unsupervised learning and clustering
  • Using K-means for predicting neighborhood
  • Using K-means for clustering audio files
  • Using unsupervised k-nearest neighborhood (kNN) for predicting nearest neighbors

Unsupervised Learning and Clustering

In this section, ...

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